activity
20162020
most citedLanguage Bootstrapping: Learning Word Meanings From Perception-Action Association

38 citations · 48 across the 5 of their papers we have counts for

collaborators

8 papers

eess.SP2020

STEP-GAN: A Step-by-Step Training for Multi Generator GANs with application to Cyber Security in Power Systems

Mohammad Adiban, Arash Safari, Giampiero Salvi

In this study, we introduce a novel unsupervised countermeasure for smart grid power systems, based on generative adversarial networks (GANs). Given the pivotal role of smart grid…

cs.LG20194 cited

From Visual to Acoustic Question Answering

Jerome Abdelnour, Giampiero Salvi, Jean Rouat

We introduce the new task of Acoustic Question Answering (AQA) to promote research in acoustic reasoning. The AQA task consists of analyzing an acoustic scene composed by a combina…

cs.RO2019

Beyond the Self: Using Grounded Affordances to Interpret and Describe Others' Actions

Giovanni Saponaro, Lorenzo Jamone, Alexandre Bernardino +1

We propose a developmental approach that allows a robot to interpret and describe the actions of human agents by reusing previous experience. The robot first learns the association…

cs.CL2018

CLEAR: A Dataset for Compositional Language and Elementary Acoustic Reasoning

Jerome Abdelnour, Giampiero Salvi, Jean Rouat

We introduce the task of acoustic question answering (AQA) in the area of acoustic reasoning. In this task an agent learns to answer questions on the basis of acoustic context. In…

stat.ML2018

Active Mini-Batch Sampling using Repulsive Point Processes

Cheng Zhang, Cengiz Öztireli, Stephan Mandt +1

The convergence speed of stochastic gradient descent (SGD) can be improved by actively selecting mini-batches. We explore sampling schemes where similar data points are less likely…

cs.RO201738 cited

Language Bootstrapping: Learning Word Meanings From Perception-Action Association

Giampiero Salvi, Luis Montesano, Alexandre Bernardino +1

We address the problem of bootstrapping language acquisition for an artificial system similarly to what is observed in experiments with human infants. Our method works by associati…